Christopher Cichiwskyj, M.Sc., arbeitete seit April 2015 als wissenschaftlicher Mitarbeiter und Doktorand am Fachgebiet für Eingebettete Systeme der Informatik der Universität Duisburg-Essen. Seinen Masterabschluss erhielt er 2015 in Angewandter Informatik mit Schwerpunkt auf Verteilten, Verlässlichen Systemen an der Universität Duisburg-Essen. Seinen Bachelor erhielt er 2013 bei dem ein besonderer Fokus auf Pervasive Computing lag. Er hat unser Fachgebiet im Juli 2021 verlassen.

Publikationen

    Artikel in Zeitschriften

  • Cichiwskyj, Christopher; Schmeißer, Stephan; Qian, Chao; Einhaus, Lukas; Ringhofer, Christopher; Schiele, Gregor
    Elastic AI : System support for adaptive machine learning in pervasive computing systems
    In: CCF Transactions on Pervasive Computing and Interaction Jg. 3 (2021) Nr. 3, S. 300 - 328
  • Cichiwskyj, Christopher; Schiele, Gregor
    Temporal Accelerators : Unleashing the Potential of Embedded FPGAs
    In: J.UCS: Journal of Universal Computer Science Jg. 27 (2021) Nr. 11, S. 1174 - 1192
  • Burger, Alwyn Johannes; Cichiwskyj, Christopher; Schmeißer, Stephan; Schiele, Gregor
    The Elastic Internet of Things - A Platform for Self-Integrating and Self-Adaptive IoT-Systems with Support for Embedded Adaptive Hardware
    In: Future Generation Computer Systems Jg. 113 (2020) S. 607 - 619
  • Beiträge in Sammelwerken und Tagungsbänden

  • Qian, Chao; Cichiwskyj, Christopher; Ling, Tianheng; Schiele, Gregor
    Idle is the New Sleep : Configuration-Aware Alternative to Powering Off FPGA-Based DL Accelerators During Inactivity
    In: Architecture of Computing Systems: Proceedings / 37th International Conference, ARCS 2024, Potsdam, Germany, May 14–16, 2024 / Fey, Dietmar; Stabernack, Benno; Lankes, Stefan (Hrsg.) 2024, S. 161 - 176
  • Cichiwskyj, Christopher; Qian, Chao; Schiele, Gregor
    Time to Learn : Temporal Accelerators as an Embedded Deep Neural Network Platform
    In: IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning: Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020 ; Ghent, Belgium, September 14-18, 2020 ; Revised Selected Papers / 2nd International Workshop on IoT Streams for Data-Driven Predictive Maintenance ; IoT Streams 2020 ; September 14-18, 2020, Ghent, Belgium / Gama, João; Pashami, Sepideh; Bifet, Albert; Sayed-Mouchaweh, Moamar; Fröning, Holger; Pernkopf, Franz; Schiele, Gregor; Blott, Michaela (Hrsg.) 2020, S. 256 - 267
  • Schiele, Gregor; Burger, Alwyn Johannes; Cichiwskyj, Christopher
    The Elastic Node: An Experimentation Platform for Hardware Accelerator Research in the Internet of Things
    In: Proceedings of the IEEE International Conference on Autonomic Computing / ICAC 2019; Umea; Sweden; 16 - 20 June 2019 2019, S. 84 - 94
  • Burger, Alwyn Johannes; Cichiwskyj, Christopher; Schiele, Gregor
    Elastic Nodes for the Internet of Things : A Middleware-Based Approach
    In: Proceedings - 2017 IEEE International Conference on Autonomic Computing, ICAC 2017 / 14th IEEE International Conference on Autonomic Computing, ICAC 2017; The Ohio State University Columbus; United States; 17 July 2017 through 21 July 2017 / Wang, Xiaorui (Hrsg.) 2017, S. 73 - 74
  • Loviska, Milan; Krause, Otto; Engelbrecht, Herman A.; Nel, Jason B.; Schiele, Gregor; Burger, Alwyn Johannes; Schmeißer, Stephan; Cichiwskyj, Christopher; Calvet, Lilian; Griwodz, Carsten; Halvorsen, Pål
    Immersed gaming in Minecraft
    In: Proceedings of the 7th International Conference on Multimedia Systems (MMSys'16) / MMSys'16 - 7th International Conference on Multimedia Systems, 10-13 May 2016, Klagenfurt, Austria / Association for Computing Machinery (ACM) (Hrsg.) 2016 32
  • Cichiwskyj, Christopher; Schiele, Gregor
    Using field-programmable gate arrays for learning non player characters
    In: Proceedings of the 8th International Workshop on Massively Multiuser Virtual Environments (MMVE'16) / 8th International Workshop on Massively Multiuser Virtual Environments (MMVE'16), 12 May 2016, Klagenfurt, Austria3, 2016 / Association for Computing Machinery (ACM) (Hrsg.) 2016 2